% =============================================================================
% BibTeX entries for Tianchen Zhao's publications
% Generated: 2026-05-03
% =============================================================================

% --- Deepfake Detection and Face Security ---

@inproceedings{zhao2021selfconsistency,
  title     = {Learning Self-Consistency for Deepfake Detection},
  author    = {Tianchen Zhao and Xiang Xu and Mingze Xu and Hui Ding and Yuanjun Xiong and Wei Xia},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year      = {2021},
  eprint    = {2012.09311},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2012.09311},
}

@article{xu2024faceantispoofing,
  title     = {Principles of Designing Robust Remote Face Anti-Spoofing Systems},
  author    = {Xiang Xu and Tianchen Zhao and Zheng Zhang and Zhihua Li and Jon Wu and Alessandro Achille and Mani Srivastava},
  journal   = {arXiv preprint arXiv:2406.03684},
  year      = {2024},
  eprint    = {2406.03684},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2406.03684},
}

@inproceedings{li2025optimaltransport,
  title     = {Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing},
  author    = {Zhuowei Li and Tianchen Zhao and Xiang Xu and Zheng Zhang and Zhihua Li and Xuanbai Chen and Qin Zhang and Alessandro Bergamo and Anil K. Jain and Yifan Xing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2025},
  doi       = {10.1109/CVPR52734.2025.02268},
  eprint    = {2503.22984},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2503.22984},
}

@inproceedings{shen2025authguard,
  title     = {AuthGuard: Generalizable Deepfake Detection via Language Guidance},
  author    = {Guangyu Shen and Zhihua Li and Xiang Xu and Tianchen Zhao and Zheng Zhang and Dongsheng An and Zhuowen Tu and Yifan Xing and Qin Zhang},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  year      = {2025},
  eprint    = {2506.04501},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2506.04501},
}

% --- Generative Modeling, Robustness, and Vision-Language Adaptation ---

@inproceedings{yang2019diversitysensitive,
  title     = {Diversity-Sensitive Conditional Generative Adversarial Networks},
  author    = {Dingdong Yang and Seunghoon Hong and Yunseok Jang and Tianchen Zhao and Honglak Lee},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2019},
  eprint    = {1901.09024},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/1901.09024},
}

@inproceedings{jang2019adversarialdefense,
  title     = {Adversarial Defense via Learning to Generate Diverse Attacks},
  author    = {Yunseok Jang and Tianchen Zhao and Seunghoon Hong and Honglak Lee},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year      = {2019},
  doi       = {10.1109/ICCV.2019.00283},
}

@article{zhao2025salientconcept,
  title     = {Salient Concept-Aware Generative Data Augmentation},
  author    = {Tianchen Zhao and Xuanbai Chen and Zhihua Li and Jun Fang and Dongsheng An and Xiang Xu and Zhuowen Tu and Yifan Xing},
  journal   = {arXiv preprint arXiv:2510.15194},
  year      = {2025},
  eprint    = {2510.15194},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2510.15194},
}

@inproceedings{chen2025modeldiagnosis,
  title     = {Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing},
  author    = {Xuanbai Chen and Xiang Xu and Zhihua Li and Tianchen Zhao and Pietro Perona and Qin Zhang and Yifan Xing},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2025},
  doi       = {10.1109/CVPR52734.2025.01332},
}

@article{wu2026craft,
  title     = {Decoupling Vision and Language: Codebook Anchored Visual Adaptation},
  author    = {Jason Wu and Tianchen Zhao and Chang Liu and Jiarui Cai and Zheng Zhang and Zhuowei Li and Aaditya Singh and Xiang Xu and Mani Srivastava and Jonathan Wu},
  journal   = {arXiv preprint arXiv:2602.19449},
  year      = {2026},
  eprint    = {2602.19449},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  url       = {https://arxiv.org/abs/2602.19449},
}

% --- Neural Quantum States and Scientific Machine Learning ---

@article{zhao2023scalablenqs,
  title     = {Scalable Neural Quantum States Architecture for Quantum Chemistry},
  author    = {Tianchen Zhao and James Stokes and Shravan Veerapaneni},
  journal   = {Machine Learning: Science and Technology},
  year      = {2023},
  eprint    = {2208.05637},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2208.05637},
}

@article{zhao2021nesvmc,
  title     = {Natural Evolution Strategies and Variational Monte Carlo},
  author    = {Tianchen Zhao and Giuseppe Carleo and James Stokes and Shravan Veerapaneni},
  journal   = {Machine Learning: Science and Technology},
  year      = {2021},
  eprint    = {2005.04447},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2005.04447},
}

@inproceedings{zhao2021scalablevqmc,
  title     = {Overcoming Barriers to Scalability in Variational Quantum Monte Carlo},
  author    = {Tianchen Zhao and Saibal De and Brian Chen and James Stokes and Shravan Veerapaneni},
  booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  year      = {2021},
  eprint    = {2106.13308},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2106.13308},
}

% TODO: Paper #10 and #5 share arXiv ID 2005.04447. This is the arXiv preprint version (2020) of the ML:ST journal paper (2021).
@article{zhao2020nesqaoa,
  title     = {Natural Evolution Strategies and Quantum Approximate Optimization},
  author    = {Tianchen Zhao and Giuseppe Carleo and James Stokes and Shravan Veerapaneni},
  journal   = {arXiv preprint arXiv:2005.04447},
  year      = {2020},
  eprint    = {2005.04447},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2005.04447},
}

@article{zhao2020metavmc,
  title     = {Meta Variational Monte Carlo},
  author    = {Tianchen Zhao and James Stokes and Oliver Knitter and Brian Chen and Shravan Veerapaneni},
  journal   = {arXiv preprint arXiv:2011.10614},
  year      = {2020},
  eprint    = {2011.10614},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2011.10614},
}

% TODO: fill in doi, volume, pages for the Quantum Machine Intelligence journal version
@article{zhao2023metavmcqmi,
  title     = {Meta-Variational Quantum Monte Carlo},
  author    = {Tianchen Zhao and James Stokes and Oliver Knitter and Brian Chen and Shravan Veerapaneni},
  journal   = {Quantum Machine Intelligence},
  year      = {2023},
}

% --- Quantum-Inspired Scientific Computing and Finance ---

@article{zhao2024quantuminspired,
  title     = {Quantum-Inspired Variational Algorithms for Partial Differential Equations: Application to Financial Derivative Pricing},
  author    = {Tianchen Zhao and Chuhao Sun and Asaf Cohen and James Stokes and Shravan Veerapaneni},
  journal   = {Quantitative Finance},
  year      = {2024},
  eprint    = {2207.10838},
  archivePrefix = {arXiv},
  primaryClass  = {quant-ph},
  url       = {https://arxiv.org/abs/2207.10838},
}

% --- Thesis ---

% TODO: fill in doi, url (check UMich Deep Blue repository)
@phdthesis{zhao2022thesis,
  title     = {Neural Quantum States for Scientific Computing},
  author    = {Tianchen Zhao},
  school    = {University of Michigan},
  year      = {2022},
}